--- title: "Daan Wierstra — author profile and papers — Elamur Research" description: "Daan Wierstra: 2 papers on Elamur Research (2014–2016), h-index 45 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/daan-wierstra/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/daan-wierstra/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Daan Wierstra # Daan Wierstra Daan Wierstra has 2 papers in our library, in 2014–2016; often with [Koray Kavukcuoglu](https://md.research.elamur.ai/free/en/authors/koray-kavukcuoglu/), [Oriol Vinyals](https://md.research.elamur.ai/free/en/authors/oriol-vinyals/), [Timothy Lillicrap](https://md.research.elamur.ai/free/en/authors/timothy-lillicrap/). 2 papers in our library · 2014–2016 [OpenAlex](https://openalex.org/A5053990531) · [**h-index 45**](https://openalex.org/authors/A5053990531) · [80 works](https://openalex.org/works?filter=author.id:A5053990531) · [61,326 citations](https://openalex.org/works?filter=author.id:A5053990531&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/daan-wierstra/#papers) · [🔗 Cited 1,630 times in our library](https://md.research.elamur.ai/free/en/authors/daan-wierstra/cited-by/) · [13 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #811](https://md.research.elamur.ai/free/en/paper-stars/page/9/#star-811) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Daan+Wierstra) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Daan+Wierstra) · [dblp](https://dblp.org/search?q=Daan+Wierstra) · [ACL Anthology](https://aclanthology.org/search/?q=Daan+Wierstra) ## Affiliations [🏢**Google DeepMind** London · United Kingdom 2008–2018 · 20 papers](https://md.research.elamur.ai/free/en/companies/google-deepmind/) · [🔬**Dalle Molle Institute for Artificial Intelligence Research** Lugano · Switzerland 2005–2010 · 19 papers](https://md.research.elamur.ai/free/en/labs/dalle-molle-institute-for-artificial-intelligence-research/) · [🏢**Google** Mountain View · United States 2015–2019 · 10 papers](https://md.research.elamur.ai/free/en/companies/google/) · [🎓**École Polytechnique Fédérale de Lausanne** Lausanne · Switzerland 2010–2011 · 3 papers](https://md.research.elamur.ai/free/en/universities/ecole-polytechnique-federale-de-lausanne/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions on single bylines are not listed. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 5 The field of science this work belongs to (OpenAlex fields).[Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/mathematics/) · [Statistics and Probability · 1 work](https://md.research.elamur.ai/free/en/shelves/mathematics/statistics-and-probability/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 💡 Concepts 2 Key ideas and methods explained on our concept pages.[Few-shot learning · 1 work](https://md.research.elamur.ai/free/en/concepts/few-shot-learning/) · [Natural language processing · 1 work](https://md.research.elamur.ai/free/en/concepts/natural-language-processing/) ## Works by year ### 2010s [**2016** 1 paper](https://md.research.elamur.ai/free/en/authors/daan-wierstra/year/2016/) · [**2014** 1 paper](https://md.research.elamur.ai/free/en/authors/daan-wierstra/year/2014/) ## Papers The most cited first (OpenAlex and our library). 1. **[Stochastic Backpropagation and Approximate Inference in Deep Generative Models](https://md.research.elamur.ai/free/en/papers/rezende-2014-stochastic-backpropagation-approximate-inference-deep/)** *(2014 · 2,765 citations)* The paper addresses a long-standing difficulty with deep directed generative models: sampling from them is easy, but inferring their hidden variables efficiently has been hard. 2. **[Matching Networks for One Shot Learning](https://md.research.elamur.ai/free/en/papers/vinyals-2016-matching-networks-one-shot-learning/)** *(2016 · 1,197 citations)* The paper addresses one-shot learning: how to train a neural network to recognize a new class when only one or a few labeled examples are available. ## All works 15 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them. 1. **[Playing Atari with Deep Reinforcement Learning ↗](https://arxiv.org/abs/1312.5602) arXiv:1312.5602 · no summary yet**Volodymyr Mnih et al.*2013 · 5,030 citations* 2. [**Stochastic Backpropagation and Approximate Inference in Deep Generative Models arXiv:1401.4082**Danilo Jimenez Rezende, Shakir Mohamed, Daan Wierstra*2014 · 2,765 citations*](https://md.research.elamur.ai/free/en/papers/rezende-2014-stochastic-backpropagation-approximate-inference-deep/) 3. **[Weight Uncertainty in Neural Networks ↗](https://arxiv.org/abs/1505.05424) arXiv (Cornell University) · no summary yet**Charles Blundell et al.*2015 · 1,217 citations* 4. [**Matching Networks for One Shot Learning arXiv:1606.04080**Oriol Vinyals, Charles Blundell, Timothy Lillicrap, et al.*2016 · 1,197 citations*](https://md.research.elamur.ai/free/en/papers/vinyals-2016-matching-networks-one-shot-learning/) 5. **[DRAW: A Recurrent Neural Network For Image Generation ↗](https://arxiv.org/abs/1502.04623) arXiv:1502.04623 · no summary yet**Karol Gregor et al.*2015 · 947 citations* 6. **[Weight Uncertainty in Neural Network ↗](https://openalex.org/W2164411961) International Conference on Machine Learning · no summary yet**Charles Blundell et al.*2015 · 840 citations* 7. **[PathNet: Evolution Channels Gradient Descent in Super Neural Networks ↗](https://arxiv.org/abs/1701.08734) arXiv:1701.08734 · no summary yet**Chrisantha Fernando et al.*2017 · 667 citations* 8. **[Neural scene representation and rendering ↗](https://doi.org/10.1126/science.aar6170) Science · no summary yet**S. M. Ali Eslami et al.*2018 · 518 citations* 9. **[Imagination-Augmented Agents for Deep Reinforcement Learning ↗](https://arxiv.org/abs/1707.06203) arXiv (Cornell University) · no summary yet**Théophane Weber et al.*2017 · 241 citations* 10. **[Towards Conceptual Compression ↗](https://openalex.org/W2963147844) neural information processing systems · no summary yet**Karol Gregor et al.*2016 · 118 citations* 11. **[Neural Episodic Control ↗](https://arxiv.org/abs/1703.01988) arXiv:1703.01988 · no summary yet**Alexander Pritzel et al.*2017 · 91 citations* 12. **[Stochastic search using the natural gradient ↗](https://doi.org/10.1145/1553374.1553522) International Conference on Machine Learning · no summary yet**Yi Sun et al.*2009 · 81 citations* 13. **[Learning model-based planning from scratch ↗](https://arxiv.org/abs/1707.06170) arXiv (Cornell University) · no summary yet**Razvan Pascanu et al.*2017 · 76 citations* 14. **[Relational recurrent neural networks ↗](https://arxiv.org/abs/1806.01822) arXiv (Cornell University) · no summary yet**Adam Santoro et al.*2018 · 43 citations* 15. **[Learning to Search with MCTSnets ↗](https://arxiv.org/abs/1802.04697) arXiv:1802.04697 · no summary yet**Arthur Guez et al.*2018 · 30 citations* ## Co-authors here 3 co-authors with a page, the most papers together first. - [Koray Kavukcuoglu](https://md.research.elamur.ai/free/en/authors/koray-kavukcuoglu/) - [Oriol Vinyals](https://md.research.elamur.ai/free/en/authors/oriol-vinyals/) - [Timothy Lillicrap](https://md.research.elamur.ai/free/en/authors/timothy-lillicrap/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - International Conference on Machine Learning ×2 - Science - neural information processing systems ## Cited by Papers of our library cite their works 1,630 times (of the 149,439 papers whose bibliographies we read); [107 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/daan-wierstra/cited-by/). Updated 31 October 2026